During this masterclass you will learn about:

• The data lifecycle perspective on data governance.
• Data Quality (central for AI applications)
• Making sure data is correct, transparant and (re)usable.
• Understanding core technologies for data governance with respect to the modern data stack.
• AI applications for unstructured data.
• The relationship between machine learning and data governance.
• Key roles and areas of expertise that are needed to for data governance.
• Key approaches for deciding when to build or buy technology data governance.

This masterclass is designed for professionals who are responsible for data or that are involved in decisions regarding data within an organization, such as CIOs, CTOs, CDOs, Managers Data Management, Enterprise Architects, Data Architects, Data Management Analysts, Data Product Owners, Data Stewards, and Product managers.

At the end of this masterclass you will know how to apply the learned techniques in your own work and have an idea or started to make a plan how to improve the data governance at your workplace. 

More specifically, you:

•    know how to use data governance to identify efficiencies and prioritize data acquisition.
•    can prioritize which (AI) technology investments to make and whether to build or buy technology.
•    will be able to decide on personal hiring and training plans for staff.
•    will be able to speed time to market by enabling teams to find and use the data they need.

In addition to content about data governance for compliance, this masterclass will also provide insight into management structures and techniques for value creation. In particular, the role of Artificial Intelligence within different aspects of data governance will be discussed.